CRISP-DM 1

CRISP-DM Step-by-step data mining guide Pete Chapman (NCR), Julian Clinton (SPSS), Randy Kerber (NCR), Thomas Khabaza (SPSS), Thomas Reinartz (DaimlerChrysler), Colin Shearer (SPSS) and R diger Wirth (DaimlerChrysler). SPSS is a registered trademark and the other SPSS products named are trademarks of SPSS Inc. All other names are trademarks of their respective owners. 2000 SPSS Inc. CRISPMWP-1104. This document describes the CRISP-DM process model and contains information about the CRISP-DM methodology, the CRISP-DM reference model, the CRISP-DM user guide, and the CRISP-DM reports, as well as an appendix with additional related information. This document and information herein are the exclusive property of the partners of the CRISP-DM . consortium: NCR Systems Engineering Copenhagen (USA and Denmark), DaimlerChrysler AG (Germany), SPSS Inc. (USA), and OHRA Verzekeringen en Bank Groep (The Netherlands). Copyright 1999, 2000.

routes through the data mining process because this would require an overly complex process model. The fourth level, the process instance, is a record of the actions, decisions, and results of an actual data mining engagement. A process instance is organized according to the tasks defined at the higher levels, but represents

Loading..

Tags:

  Engagement, Mining, Scrips, Crisp dm, Mining engagement

Information